• 한국멀티미디어학회논문지
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• 제12권11호
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• pp.1692-1700
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• 2009

본 논문에서는 메쉬 법선 벡터들의 방향 분포를 3차원 모델의 특징 기술자로 제안한다. 특징 기술자로써 요구되는 회전 불변을 주성분 분석법(PCA)으로 처리하고 잡음첨가에 강건하도록 메쉬 간략화를 수행한다. 표면적이 작은 면에 대한 정보가 특징 기술자를 구성하는데 더 적게 반영되도록 법선 벡터의 분포를 각 다각형의 면적에 비례하게 표본을 뽑아 법선 벡터에 가중치를 적용하고 보간하여 변별력을 높인다. 모델간의 유사도는 특징 기술자의 거리를 정규화한 확률 밀도 히스토그램의 L1-norm으로 측정한다. 제안한 방법이 기존 방법에 비해 검색 순위 평균(ANMRR)으로 나타낸 검색 성능이 약 17.2%, 정량적 변별 척도로 나타낸 검색 성능이 최소 9.6%에서 최대 17.5%까지 향상되었음을 알 수 있었다.

• 한국전자파학회논문지
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• 제12권6호
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• pp.906-911
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• 2001

본 논문에서는 비화 통신을 위하여 chirp 방식을 이용한 BPSK 시스템의 LPI(low probability of intercept)와 AJ(anti jamming) 성능을 분석하였다. Chirp 방식은 주파수를 전체 확산대역 내에서 임의적으로 변화시켜 신호의 주기적인 특성을 제거하기 때문에, feature parameter인 chip rate를 검출하는데 용이한 DAM(delay and multiplier)과 반송파 주파수 검출에 용이한 SC(Squaring Circuit)에 대항하여 뛰어난 LPI 특성을 가진다. chirp parameter의 변화에 따른 LPI 특성으로 chirp duration(Tc)이 커질수록 좋은 LPI 성능을 보인다. PBNJ(partial band noise jammer)환경에서, chirp 방식이 이론적인 DSSS(Direct Sequence Spread Spectrum) 방식에 비하여 AJ 성능이 우수함을 시뮬레이션으로 확인하였다. PBNJ와 MTJ(multi-tone jammer)를 비교하였을 때, chirped BPSK 시스템이 동일 JSR(jammer to signal power ratio)에서 MTJ에 더 우수한 AJ 성능이 있다.

• 한국산학기술학회논문지
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• 제14권8호
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• pp.3983-3991
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• 2013

스테레오 매칭 중 센서스 변환은 방사 왜곡과 밝기 변화에 강한 특징이 있다. 본 논문은 미니 센서스 변환과 일반화된 센서스 변환을 동시에 이용한 하이브리드 센서스 변환을 제안하였다. 제안한 하이브리드 센서스 변환 방법은 미니 센서스 변환의 적은 계산량과 일반화된 센서스 변환의 잡음에 강인한 특성을 반영하여 설계되었다. 성능을 평가하기 위하여 후처리 과정까지 포함하여 스테레오 매칭을 수행하였다. 그 결과 하이브리드 센서스 변환은 일반화된 센서스 변환과 성능이 비슷하였고, 계산량은 미니 센서스 변환과 일반화된 센서스의 중간값을 갖는다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제9권12호
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• pp.4934-4949
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• 2015

The unstable characteristic values of communication signals along with the varying SNR (Signal Noise Ratio) environment make it difficult to identify the modulations of signals. Most of relevant literature revolves around signal recognition under stable SNR, and not applicable for signal recognition at varying SNR. To solve the problem, this research developed a novel communication signal recognition algorithm based on Holder coefficient and cloud theory. In this algorithm, the two-dimensional (2D) Holder coefficient characteristics of communication signals were firstly calculated, and then according to the distribution characteristics of Holder coefficient under varying SNR environment, the digital characteristics of cloud model such as expectation, entropy, and hyper entropy are calculated to constitute the three-dimensional (3D) digital cloud characteristics of Holder coefficient value, which aims to improve the recognition rate of the communication signals. Compared with traditional algorithms, the developed algorithm can describe the signals' features more accurately under varying SNR environment. The results from the numerical simulation show that the developed 3D feature extraction algorithm based on Holder coefficient cloud features performs better anti-noise ability, and the classifier based on interval gray relation theory can achieve a recognition rate up to 84.0%, even when the SNR varies from -17dB to -12dB.

• Structural Monitoring and Maintenance
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• 제8권4호
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• pp.379-402
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• 2021

Traditional approaches for structural health monitoring (SHM) seldom take ambient uncertainty (temperature, humidity, ambient vibration) into consideration, while their impacts on structural responses are substantial, leading to a possibility of raising false alarms. A few predictors model-based approaches deal with these uncertainties through complex numerical models running online, rendering the SHM approach to be compute-intensive, slow, and sometimes not practical. Also, with model-based approaches, the imperative need for a precise understanding of the structure often poses a problem for not so well understood complex systems. The present study employs a data-based approach coupled with Empirical mode decomposition (EMD) to correlate recorded response time histories under varying temperature conditions to corresponding damage scenarios. EMD decomposes the response signal into a finite set of intrinsic mode functions (IMFs). A two-dimensional Convolutional Neural Network (2DCNN) is further trained to associate these IMFs to the respective damage cases. The use of IMFs in place of raw signals helps to reduce the impact of sensor noise while preserving the essential spatio-temporal information less-sensitive to thermal effects and thereby stands as a better damage-sensitive feature than the raw signal itself. The proposed algorithm is numerically tested on a single span bridge under varying temperature conditions for different damage severities. The dynamic strain is recorded as the response since they are frame-invariant and cheaper to install. The proposed algorithm has been observed to be damage sensitive as well as sufficiently robust against measurement noise.

• 한국정보과학회논문지:소프트웨어및응용
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• 제27권5호
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• pp.583-592
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• 2000

본 논문에서는 독립성분분석을 이용한 음성의 특징 벡터 변환방법을 제안한다. 제안한 방법은 여러 환경에서 수집된 음성신호의 켑스트럼 벡터를 다수의 특징 함수들의 선형결합으로 가정하고, 독립성분분석을 이용하여 분리된 켑스트럼 벡터를 학습과 인식에 사용한다. 변환된 벡터 영역에서는 반복적으로 나타나는 화자의 특징 정보는 강조되고 임의로 나타나는 채널 왜곡은 억제되는 효과를 볼 수 있다. 제안된 방법의 유효성을 검증하기 위해 실제 전화음성으로 문장독립형 화자식별 실험을 수행하였으며, 결과를 통해 독립성분분석을 이용한 특징벡터의 변환이 채널 환경 변화에 대해 보다 강인함을 보였다.

• 제어로봇시스템학회논문지
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• 제9권2호
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• pp.107-116
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• 2003

This paper presents a systematic design methodology for fault tolerant controller against a fault in actuators and sensors of linear stochastic systems with uncertainties. The scheme is based on fault detection and diagnosis(isolation and estimation) using a bank of robust two-stage Kalman filters, and accommodation of the actuator fault by eigenstructure assignment and immediate compensation of the sensor's faulty measurement. In order to clarify the fault feature in test statistics of residual, noise reduction method is given by multi-scale discrete wavelet transform. The effectiveness of our approach Is shown via simulations for a VTOL(vertical take-off and landing) aircraft subjected to parameter variations, external disturbances, process and sensor noises.

• 대한음성학회지:말소리
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• 제48호
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• pp.107-116
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• 2003

This paper deals with a new parameter for voice detection which is used for many areas of speech engineering such as speech synthesis, speech recognition and speech coding. CV (Coefficient of Variation) of speech spectrum as well as other feature parameters is used for the detection of speech. CV is calculated only in the specific range of speech spectrum. Average magnitude and spectral magnitude are also employed to improve the performance of detector. From the experimental results the proposed voice detector outperformed the conventional energy-based detector in the sense of error measurements.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.1244-1248
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• 2005

In this paper, we propose fuzzy c-means (FCM) to solve recognition errors in invariant range image, multi-pose face recognition. Scale, center and pose error problems were solved using geometric transformation. Range image face data was digitized into range image data by using the laser range finder that does not depend on the ambient light source. Then, the digitized range image face data is used as a model to generate multi-pose data. Each pose data size was reduced by linear reduction into the database. The reduced range image face data was transformed to the gradient face model for facial feature image extraction and also for matching using the fuzzy membership adjusted by fuzzy c-means. The proposed method was tested using facial range images from 40 people with normal facial expressions. The output of the detection and recognition system has to be accurate to about 93 percent. Simultaneously, the system must be robust enough to overcome typical image-acquisition problems such as noise, vertical rotated face and range resolution.

• JSTS:Journal of Semiconductor Technology and Science
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• 제15권2호
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• pp.202-207
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• 2015

A CMOS relaxation oscillator, with high robustness over process, voltage and temperature (PVT) variations, is designed in $0.18{\mu}m$ CMOS. The proposed oscillator, consisting of full-differential charge-discharge timing circuit and switched-capacitor based voltage-to-current conversion, could be expanded to a simple open-loop frequency synthesizer (FS) with output frequency digitally tuned. Experimental results show that the proposed oscillator conducts subcarrier generation for frequency-modulated ultra-wideband (FM-UWB) transmitters with triangular amplitude distortion less than 1%, and achieves frequency deviation less than 8% under PVT and phase noise of -112 dBc/Hz at 1 MHz offset frequency. Under oscillation frequency of 10.5 MHz, the presented design has the relative FS error less than 2% for subcarrier generation and the power dissipation of 0.6 mW from a 1.8 V supply.